Using probabilistic record linkage and propensity-score matching to identify a community-based comparison population.
Using probabilistic record linkage and propensity-score matching to identify a community-based comparison population.
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DOI：
10.1002/nur.22226
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发表时间：
2022-06
影响因子：
2
通讯作者：
Li, Connie
中科院分区：
文献类型：
--
作者：
L Holland, Margaret;Taylor, Rose M.;Condon, Eileen;Rinne, Gabrielle R.;Bleicher, Sarah;Seldin, Margaret L.;Sadler, Lois S.;Li, Connie
在向社区传播干预措施的回溯性队列研究中，很难找到具有高质量数据的对照组进行评估。我们提出了一种方法论方法，作为我们在针对第一次母亲的家访(HV)计划中对第二个出生的孩子的出生结果研究的一部分。我们使用概率记录链接将康涅狄格州的养育家庭网络(NFN)HV计划与2005年至2015年出生的儿童的出生证明数据联系起来。我们确定了两个潜在的比较组：从剩余的出生证明样本中获得倾向分数匹配的组和符合条件但未登记的家庭。通过对口译区间的分析说明了该方法的有效性。我们确认了4822个NFN家庭的出生证明。倾向得分匹配组有14,219个家庭(3比1匹配)，我们确定了1,101个符合条件但未登记的家庭。对于倾向得分匹配的组，协变量很好地平衡了，但对于符合条件但未登记的组，协变量平衡很差。未发现程序对解释间隔的影响。通过结合倾向-分数匹配和概率记录关联，我们能够为准实验研究追溯地确定相对较大的比较组。使用出生证明数据，我们从一个单一的数据源访问了所有这些人的结果。当每种方法都有一定的局限性时，多个比较组允许我们确认研究结果。其他寻求以社区为基础的对比小组的研究人员可以考虑类似的方法。
In retrospective cohort studies of interventions disseminated to communities, it is challenging to find comparison groups with high-quality data for evaluation. We present one methodological approach as part of our study of birth outcomes of second-born children in a home visiting (HV) program targeting first-time mothers. We used probabilistic record linkage to link Connecticut’s Nurturing Families Network (NFN) HV program and birth-certificate data for children born from 2005 to 2015. We identified two potential comparison groups: a propensity-score-matched group from the remaining birth certificate sample and eligible-but-unenrolled families. An analysis of interpregnancy interval is presented to exemplify the approach. We identified the birth certificates of 4,822 NFN families. The propensity-score-matched group had 14,219 families (3-to-1 matching) and we identified 1,101 eligible-but-unenrolled families. Covariates were well balanced for the propensity-score-matched group, but poorly balanced for the eligible-but-unenrolled group. No program effect on interpregnancy interval was found. By combining propensity-score matching and probabilistic record linkage, we were able to retrospectively identify relatively large comparison groups for quasi-experimental research. Using birth certificate data, we accessed outcomes for all of these individuals from a single data source. Multiple comparison groups allow us to confirm findings when each method has some limitations. Other researchers seeking community-based comparison groups could consider a similar approach.
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